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The table is

A boxplot is a frequent data analysis graph.

The following is a box plot of Mrs. Liao's students' test score data on their first statistics test:

To look for outliers, we'll calculate the IQR and then determine the upper and lower bounds: $$\begin{gathered} IQR=Q_3鈭�Q_1=93.25鈭�81.5=11.75 \\ IQRx1.5=11.75x1.5=17.625 \\ {Q}_3+60=93.25+17.625=110.875 \\ {Q}_1-60=81.5-17.625=63.875 \end{gathered}$$

Any figure between $110.875$ and $63.875$ is considered an anomaly. The outliers in this situation are $43$ and $45$ Thus, the box-plot is made for the given data.

The first statistics test was a success for the vast majority of students. Only two students out of thirty were unable to achieve satisfactory results. Because the median score is $87.75$ and Q1 is also above $70\%$, the majority of students have scored in excess of $70$. Only two students, who received scores of $43$ and $45$, scored in the lower half of the range. Therefore, the students performed very well.